Notebooks for Kaggle competition

Dynamically adjust cost of the rides in response to changing factors

Accident damage prediction using catboost regressor

Linking Writing Processes to Writing Quality

This repository contains a project I completed for an NTU course titled CB4247 Statistics & Computational Inference to Big Data. In this project, I applied regression and machine learning techniques to predict house prices in India.

Leveraging Machine Learning 🚀 to predict Math Scores 📈 based on key features, Enables data-driven insights for better academic support and improvement strategies! 🚀

Math Score Predictor

This project aims to predict flight arrival delays using various machine learning algorithms. It involves EDA, feature engineering, and model tuning with XGBoost, LightGBM, CatBoost, SVM, Lasso, Ridge, Decision Tree, and Random Forest Regressors. The goal is to identify the best model for accurate predictions.

Predicción del precio de venta de las viviendas en venta y de las viviendas en alquiler de Barcelona.

House Price Prediction

Predicting house prices using advanced regression algorithms

A light-weight Kaggle challenge to predict crabs' age

Code for kaggle single cell competition (got bronze medal)